JMIR Medical Education

Technology, innovation, and openness in medical education in the information age.

Editor-in-Chief:

Blake J. Lesselroth, MD MBI FACP FAMIA, University of Oklahoma | OU-Tulsa Schusterman Center; University of Victoria, British Columbia


Impact Factor 3.2 CiteScore 6.9

JMIR Medical Education (JME, ISSN 2369-3762) is an open access, PubMed-indexed, peer-reviewed journal focusing on technology, innovation, and openness in medical education.This includes e-learning and virtual training, which has gained critical relevance in the (post-)COVID world. Another focus is on how to train health professionals to use digital tools. We publish original research, reviews, viewpoint, and policy papers on innovation and technology in medical education. As an open access journal, we have a special interest in open and free tools and digital learning objects for medical education and urge authors to make their tools and learning objects freely available (we may also publish them as a Multimedia Appendix). We also invite submissions of non-conventional articles (e.g., open medical education material and software resources that are not yet evaluated but free for others to use/implement). 

In our "Students' Corner," we invite students and trainees from various health professions to submit short essays and viewpoints on all aspects of medical education, particularly suggestions on improving medical education and suggestions for new technologies, applications, and approaches. 

In 2024, JMIR Medical Education received a Journal Impact Factor™ of 3.2 (Source: Journal Citation Reports™ from Clarivate, 2024). The journal is indexed in MEDLINEPubMed, PubMed Central, Scopus, DOAJ, and the Emerging Sources Citation Index (Clarivate)JMIR Medical Education received a CiteScore of 6.9, placing it in the 91st percentile (#137 of 1543) as a Q1 journal in the field of Education.

Recent Articles

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Evaluation of Medical Education

Critical evaluation of naloxone co-prescription academic detailing programs have been positive, but little research has focused on how participant thinking changes during academic detailing.

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New Methods and Approaches in Medical Education

AI Chatbots are poised to have a profound impact on medical education. Medical students, as early adopters of technology and future healthcare providers, play a crucial role in shaping the future of healthcare. However, little is known about the utilization, perception, and intention to use AI chatbots among medical students in China.

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Social Media in Medical Education

Social media (SoMe) have taken a major place in the medical field and younger generations are increasingly using them as their primary source to find information.

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Short Paper

As part of the residency application process in the United States, many medical specialties now offer applicants the opportunity to send program signals that indicate high interest to a limited number of residency programs. To determine which residency programs to apply to, and which programs to send signals to, applicants need accurate information to determine which programs align with their future training goals. Most applicants use a program’s website to review program characteristics and criteria, so describing the current state of residency program websites can inform programs of best practices.

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Theme Issue [2023]: Digital Health Skills and Competencies for Clinicians and Health Care Professionals

Although digital health is essential for improving health care, its adoption remains slow due to the lack of literacy in this area. Therefore, it is crucial for health professionals to acquire digital skills and for a digital competence assessment and accreditation model to be implemented to make advances in this field.

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Theme Issue [2023]: Digital Health Skills and Competencies for Clinicians and Health Care Professionals

ncremental advancements in Artificial Intelligence (AI) technology have facilitated its integration into various disciplines. In particular, the infusion of AI into medical education has emerged as a significant trend with noteworthy research findings. Consequently, a comprehensive review and analysis of the current research landscape of AI in medical education is warranted.

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Specialist Training for Doctors

The 2024 Nephrology fellowship match data shows the declining interest in Nephrology in the United States, with an 11% drop in candidates and a mere 66% of positions filled.

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New Methods and Approaches in Medical Education

Current challenges in patient care have increased research on technology use in nursing and health care. Digital assistive technologies (DATs) are one option that can be incorporated into care processes. However, how the application of DATs should be introduced to nurses and care professionals must be clarified. No structured and effective education concepts for the patient-oriented integration of DATs in the nursing sector are currently available.

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Artificial Intelligence (AI) in Medical Education

This research explores the capabilities of ChatGPT-4 in passing the American Board of Family Medicine (ABFM) Certification Examination. Addressing a gap in existing literature, where earlier Artificial Intelligence (AI) models showed limitations in medical board exams, this study evaluates the enhanced features and potential of ChatGPT-4, especially in document analysis and information synthesis.

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Evaluation of Medical Education

The integration of gender and sexuality awareness in health care is increasingly recognized as vital for patient outcomes. Despite this, there is a notable lack of comprehensive data on the current state of physicians’ training and perceptions in these areas, leading to a gap in targeted educational interventions and optimal health care delivery.

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Undergraduate Education for Future Healthcare Professionals

In the field of research, psychological safety has been widely recognized as a contributing factor to improving the quality of care and patient safety. However, its consideration in the curricula and traineeship pathways of residents and health care students is scarce.

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Preprints Open for Peer-Review

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